PyTorch

Table of Contents Exploring GAN Code Generation with Gemini Pro and ChatGPT-3.5: A Comparative Study Introduction to GAN Development with Gemini Pro Expectations from the Generated Code Understanding Generative Adversarial Networks Configuring Gemini Pro for PyTorch GAN Code Creation and…

Table of Contents SAM from Meta AI (Part 2): Integration with CLIP for Downstream Tasks SAM and CLIP Integration Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure Getting Individual Objects from Image Downstream Tasks with SAM…

Table of Contents SAM from Meta AI (Part 1): Segmentation with Prompts Segment Anything Training SAM Inference with SAM Project Structure Configuring Your Development Environment Need Help Configuring Your Development Environment? Creating Our Configuration File Implementing Visualization Functions Segmentation with…

Table of Contents Hand Gesture Recognition with YOLOv8 on OAK-D in Near Real-Time Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure YOLOv8 Model Export to OAK Configuring the Prerequisites Defining the Utilities Creating the Images…

Table of Contents Training the YOLOv8 Object Detector for OAK-D Introduction A Primer on YOLOv8 Configuring Your Development Environment Need Help Configuring Your Development Environment? About the Dataset YOLOv8 Label Format Hand Gesture Recognition Dataset YOLOv8 Training Selecting the Model…

Table of Contents Multi-Task Learning and HydraNets with PyTorch Solving a Multi-Task Learning Project Creating a Multi-Task DataLoader with PyTorch Data Dataset INIT LEN GET_ITEM DataLoaders Model Definition Training: Loss Functions Training Loop Conclusion Citation Information Multi-Task Learning and HydraNets…

In this tutorial, you will learn the concept behind Fully Convolutional Networks (FCNs) for segmentation. In addition, we will see how we can use Torch Hub to import a pre-trained FCN model and use it in our projects to get…

In the previous part of this series, we discussed some state-of-the-art object detection models; YOLOv5 and SSD. In today’s tutorial, we will discuss MiDaS, an ingenious attempt to aid the depth estimation of images. With this tutorial, we will create…

In this tutorial, you will learn the architectural details of Progressive GAN, which enable it to generate high-resolution images. In addition, we will see how we can use Torch Hub to import a pre-trained PGAN model and use it in…